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Programming Computer Vision with Python
If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, you'll learn as you follow examples written in Python - the easy-to-learn language that has modules for handling images and mathematical computing and data mining on a par with commercial alternatives. Programming Computer Vision with Python teaches computer vision in broad terms that won't bog you down in theory. Instead, you'll find this book to be inspiring and motivating. You'll get all the code you need, with clear explanations on how to reproduce the book's examples and build upon them directly.
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Algebraic Graph Algorithms
This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex networks, employing matroids whenever possible. The text describes the design of a simple parallel matrix algorithm kernel that can be used for parallel processing of algebraic graph algorithms. Example code is presented in pseudocode, together with case studies in Python and MPI. The text assumes readers have a background in graph theory and/or graph algorithms.
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![Manual of Arithmetic. [With] Answers](//exclusivebooks.co.za/cdn/shop/t/39/assets/placeholder-pixel_small.png?v=33125877389226915141771159651)
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Bounded Arithmetic, Propositional Logic and Complexity Theory
This book presents an up-to-date, unified treatment of research in bounded arithmetic and complexity of propositional logic, with emphasis on independence proofs and lower bound proofs. The author discusses the deep connections between logic and complexity theory and lists a number of intriguing open problems. An introduction to the basics of logic and complexity theory is followed by discussion of important results in propositional proof systems and systems of bounded arithmetic. More advanced topics are then treated, including polynomial simulations and conservativity results, various witnessing theorems, the translation of bounded formulas (and their proofs) into propositional ones, the method of random partial restrictions and its applications, direct independence proofs, complete systems of partial relations, lower bounds to the size of constant-depth propositional proofs, the method of Boolean valuations, the issue of hard tautologies and optimal proof systems, combinatorics and complexity theory within bounded arithmetic, and relations to complexity issues of predicate calculus. Students and researchers in mathematical logic and complexity theory will find this comprehensive treatment an excellent guide to this expanding interdisciplinary area.
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Optical Electromagnetic Field Analysis Using Python
In this book, Kajikawa and Okamoto explain how to use Python to calculate and visualize the optical response of microscopic structures and systems. Throughout, the authors provide varied examples to instruct readers in the application of theoretical knowledge to real-world scenarios.Electromagnetic field analysis is often necessary to determine the optical response of materials with microscopic structures. Although the principles are widely described, the manual calculation and visualization of results are not and remain challenging. Python is the ideal language to use for this as it has a large functional library for visualizing analysis results and is suitable for programming beginners to use at low cost, so it has many advantages over languages like Fortran, BASIC, and C. Here, the authors introduce the application of Python to various electromagnetic field analysis scenarios in the field of nanophotonics. The first half of the book describes cases in which there is an analytical solution for the structure and addresses scenarios such as scattering and absorption in spherical and cylindrical structures and complex structures such as rotating ellipsoids, sphere-aggregated structures, and hemispherical structures. The second half describes methods including rigorous coupling wave analysis, finite-difference time-domain method and discrete dipole approximation for numerically solving varied structures. This book enables readers to conduct their own electromagnetic field analysis quickly, cheaply, and accurately without in-depth study of other complicated and time-consuming approaches or programs.This book is invaluable for researchers and postgraduate students working in the fields of optics and photonics. Additionally, the contents are useful not only for those conducting electromagnetic field analysis but also those simulating physical, chemical, and biological phenomena.
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Theology of Arithmetic
In the second century, Valentinians and other gnosticizing Christians used numerical structures and symbols to describe God, interpret the Bible, and frame the universe. In this study of the controversy that resulted, Joel Kalvesmaki shows how earlier neo-Pythagorean and Platonist number symbolism provided the impetus for this theology of arithmetic, and describes the ways in which gnosticizing groups attempted to engage both the Platonist and Christian traditions. He explores the rich variety of number symbolism then in use, among both gnosticizing groups and their orthodox critics, demonstrating how those critics developed an alternative approach to number symbolism that would set the pattern for centuries to come. Arguing that the early dispute influenced the very tradition that inspired it, Kalvesmaki explains how, in the late third and early fourth centuries, numbers became increasingly important to Platonists, who engaged in arithmological constructions and disputes that mirrored the earlier Christian ones.
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Adventures in Python
The complete beginner's guide to Python, for young people who want to start today Adventures in Python is designed for 11-to 15-year olds who want to teach themselves Python programming, but don't know where to start. Even if you have no programming experience at all, this easy to follow format and clear, simple instruction will get you up and running quickly. The book walks you through nine projects that teach you the fundamentals of programming in general, and Python in particular, gradually building your skills until you have the confidence and ability to tackle your own projects. Video clips accompany each chapter to provide even more detailed explanation of important concepts, so you feel supported every step of the way. Python is one of the top programming languages worldwide, with an install base in the millions. It's a favourite language at Google, YouTube, the BBC, and Spotify, and is the primary programming language for the Raspberry Pi. As an open-source language, Python is freely downloadable, with extensive libraries readily available, making it an ideal entry into programming for the beginner. Adventures in Python helps you get started, giving you the foundation you need to follow your curiosity. Start learning Python at its most basic levelLearn where to acquire Python and how to set it upUnderstand Python syntax and interpretation for module programmingDevelop the skills that apply to any programming language Python programming skills are invaluable, and developing proficiency gives you a head start in learning other languages like C++, Objective-C, and Java. When learning feels like fun, you won't ever want to stop – so get started today with Adventures in Python.
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Conceptual Programming with Python
Thorsten and Isaac have written this book based on a programming course we teach for Master's Students at the School of Computer Science of the University of Nottingham. The book is intended for students with little or no background in programming coming from different backgrounds educationally as well as culturally. It is not mainly a Python course but we use Python as a vehicle to teach basic programming concepts. Hence, the words conceptual programming in the title. We cover basic concepts about data structures, imperative programming, recursion and backtracking, object-oriented programming, functional programming, game development and some basics of data science.
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